growthroles

Marketing Data Analyst

ehr Open · verified Sep 24, 2026
Auckland Full-time Mid-level Marketing Analytics

At a glance

Mid-level Marketing Analytics role at ehr. Auckland · full-time.

Pay not stated Marketing Analytics salary

RoleMarketing Analytics
SeniorityMid-level
LocationAuckland
EmploymentFull-time
PostedMar 24, 2026 · 6mo ago
Role brief

Growth Roles summary, based on the employer's posting.

What you'll do

  • Set up and maintain tracking across websites, landing pages, and marketing campaigns
  • Work with marketing and data teams to map events, conversions, and funnel stages
  • Check data quality, verify tags and pixels, and fix tracking problems
  • Create recurring dashboards and reports on campaign results and emerging trends
  • Measure experiments and turn findings into recommendations on conversion, lead quality, and ROI

What you bring

  • A bachelor’s degree in marketing, data analytics, statistics, computer science, or a related field
  • Two to four years in digital marketing analytics, web analytics, or a comparable role
  • Practical Google Analytics experience plus Microsoft Clarity or Meta Pixel exposure
  • Experience using Google Tag Manager to install and troubleshoot tags and pixels
  • You can analyze and visualize data, explain it clearly to non-technical audiences, and document work carefully

Who this fits

You’ll work from the Albany, Auckland office with the marketing and data teams, reporting to the Global Marketing Manager. The role suits someone who communicates well in English and can make complex findings useful for marketing colleagues. Chinese language ability is a plus, and Looker Studio, Power BI, or Tableau experience is helpful but not required.

From the employer

Marketing Data Analyst – Global Wave Group

Location: Albany, Auckland (Office based)

Reports to: Global Marketing Manager

Role Purpose

The Marketing Data Analyst will be responsible for implementing, maintaining, and utilizing marketing analytics and tracking tools to provide clear, actionable insights on campaign performance and customer behavior. This role will work closely with the marketing and data teams to ensure that all key marketing activities are accurately tracked, measured, and continuously improved. This role focuses on tools such as Google Analytics, Microsoft Clarity, Meta Pixel, and internal tracking systems to support data-driven decision-making across the marketing function.


Key Responsibilities

  • Implement and manage marketing tracking tools (e.g. Google Analytics, Microsoft Clarity, Meta Pixel, internal systems) across websites, landing pages, and campaigns.
  • Partner with the marketing and data teams to design tracking plans and define key events, conversions, and funnel steps.
  • Monitor data quality, ensure tags and pixels are firing correctly, and proactively resolve tracking issues.
  • Build and maintain standard marketing dashboards and reports to summarize campaign performance and trends.
  • Provide clear, actionable insights and recommendations to improve conversion rates, lead quality, and ROI.
  • Support A/B tests and experiments by defining metrics, setting up tracking, and analyzing results.
  • Document tracking implementations, data definitions, and reporting standards to ensure consistency over time.
  • Train marketing team members to read dashboards and basic reports so they can self-serve common questions.

Essential Requirements

  • Bachelor’s degree in Marketing, Data Analytics, Statistics, Computer Science, or a related field.
  • 2–4 years of experience in digital marketing analytics, web analytics, or a similar role.
  • Hands-on experience with Google Analytics (preferably GA4) and at least one other tool such as Microsoft Clarity or Meta Pixel.
  • Practical experience implementing and troubleshooting tags and pixels via tools such as Google Tag Manager.
  • Strong skills in data extraction, analysis, and visualization using tools such as Excel/Sheets. Experience with BI tools (e.g. Looker Studio, Power BI, Tableau) is a plus.
  • Ability to translate complex data into simple, actionable insights for non-technical stakeholders.
  • Strong attention to detail, with a systematic approach to documentation and quality control.
  • Good communication skills in English (both written and verbal); Chinese language skills are a plus.

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